FR‐CCA: Fair Multimodal Representation Learning for Equitable Alzheimer's Disease Diagnosis

FR-CCA provides a clinically actionable solution for equitable AD diagnosis by addressing biases in multimodal data integration. Its ability to balance fairness and accuracy ensures diagnostic models generalize robustly across diverse populations, addressing critical gaps in healthcare equity and offering a scalable framework for other high-stakes medical applications.